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학술대회 A Study on Fire Detection Technology through Spectrum Analysis of Smoke Particles
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박소영, 한규원, 이강복
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1563-1565
20HR4700, 연기입자 스펙트럼 분석 기반 지능형 화재감지 장비 개발, 이강복
This paper presents a technique for determining whether a fire is present and where the fire comes from by analyzing the type of smoke and the source of fire through spectral analysis of smoke particles. The technique can be divided into the part that acquires the spectral data according to the photoreaction of the smoke particles by the sensor, and the part that determines whether it is a fire and the type of fire through intelligent analysis of the spectral data. Unlike conventional photoelectric smoke detection techniques that determine whether or not a fire has occurred by analyzing the photoreaction the varies depending on the size and concentration of smoke particles, the proposed technique is expected that it can contribute to the reduction of non-fire reports by using a method of identifying the type of smoke and cause of smoke generation.
KSP 제안 키워드
Detection technology, Fire detection, Intelligent analysis, Smoke detection, Smoke particles, Spectral analysis(SPECAN), Spectrum Analysis, detection techniques, spectral data